Product Manager – SaT

Overview

As part of the OneEdge leadership team, you shape and scale the AI-first platform’s business value. You translate market needs into a clear product vision and executable roadmap, working with engineering, data science, design, and client teams to deliver measurable client impact and EY growth. This client-facing role blends commercial acumen with innovation at scale, balancing delivery with ambitious transformation. You will drive secure, compliant, and data-driven capabilities that unlock new revenue opportunities.

Pay / Benefits

• flexible environment
• diverse and inclusive culture
• globally connected teams
• world-class experiences

Responsibilities

• Define and evolve the OneEdge business vision aligned to EY strategy and client needs
• Identify high-value use cases across strategy, transactions, transformation, and managed services
• Translate client and market insights into product outcomes and success metrics
• Own backlog and roadmap; prioritize features by client value, feasibility, and commercial impact
• Partner with engineering and data teams to shape AI-driven capabilities (agentic workflows, LLM-enabled insights)
• Ensure secure, scalable, and compliant use of EY, client, and external data
• Engage with clients to understand problems, validate solutions, and refine capabilities
• Collaborate with sector leaders and service lines to embed OneEdge in client engagements
• Support go-to-market strategies, pricing models, and business cases for OneEdge
• Track client outcomes, adoption, and revenue impact
• Define product success metrics and manage feedback loops for continuous improvement
• Ensure alignment with EY risk, legal, and data governance standards

Key requirements

• 6+ years in product management, digital transformation, or strategy in consulting, professional services, or tech-enabled businesses
• Proven end-to-end ownership of digital or data-driven products
• Experience with AI, analytics, or data platforms in client-facing contexts
• Strong understanding of Agile, Lean, and discovery-driven development
• Ability to translate AI/data concepts into clear business value
• Experience collaborating with engineering, UX, and data science teams
• Commercially minded, outcome-focused, and comfortable with ambiguity
• Confident communicator with senior stakeholders and clients

• Commercially minded
• Outcome-focused
• Comfortable with ambiguity
• AI, analytics, or data platforms experience
• Agile, Lean, discovery-driven development
• Collaborating with engineering, UX, and data science teams

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